Chief Data Delivery Specialist

2 weeks ago

Australia beBeeData Full time $103,236 - $176,976
Technical Data Solutions Specialist

Job Description:

The Technical Data Solutions Specialist will be responsible for delivering high-quality, scalable, and reliable data solutions that support business goals. This role requires collaboration with business leaders to understand data needs and working closely with a global engineering team to develop robust data pipelines and ETL processes.

Key Responsibilities:

  • Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions.
  • Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams.
  • Partner with the extended data team to define, develop, and maintain shared data models and definitions.
  • Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems.
  • Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery.
  • Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance.
  • Support incident resolution and perform root cause analysis for data-related issues.
  • Create and maintain both business requirement and technical requirement documentation.
  • Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions.
  • Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns.

Qualifications:

  • Minimum of 1-3 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS).
  • Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities.
  • Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL.
  • Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST).
  • Experience with modern data platforms like Snowflake and Microsoft Fabric.
  • Solid understanding of Data Modeling, pipeline orchestration and performance optimization.
  • Strong problem-solving skills and ability to troubleshoot complex data issues.
  • Excellent communication skills, with the ability to work collaboratively in a team environment.

Preferred Skills:

  • Knowledge of Airflow or other orchestration tools.
  • Experience working with Git-based workflows and CI/CD pipelines.
  • Experience in the construction industry or a similar field is a plus but not required.

About Our Organization:

Our organization is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for various markets. We are an equal opportunity employer and prohibit discrimination and harassment of any kind.

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